Public benefit litigation recognition method, device and equipment based on remote sensing data

Abstract

The invention provides a method, a device and equipment for identifying public benefit litigation clues based on remote sensing data. The method comprises the following steps: acquiring remote sensing image data of a target area in a plurality of time periods; inputting the remote sensing image data into a public welfare litigation recognition model, and outputting public welfare litigation; the public welfare litigation recognition model is used for determining public welfare litigation based on the change condition of the remote sensing image data and a preset recognition result of a target object influencing the ecological environment. According to the embodiment of the invention, the characteristics that the high-resolution satellite remote sensing image can clearly display the land cover type and the land utilization condition are fully utilized, and the public benefit litigation clues are comprehensively and accurately determined in multiple dimensions based on the change condition of the remote sensing image data and the preset recognition result of the target object influencing the ecological environment; the pertinence and effectiveness of public benefit litigation are effectively enhanced, and the protection of public benefits is promoted.

Description

Technical Field

[0001] The present invention relates to the technical field of remote sensing data processing, and in particular to a method, device and equipment for identifying clues of public interest litigation based on remote sensing data. Background Art

[0002] Public interest litigation refers to lawsuits filed to safeguard the public interest. The parties involved include people's procuratorates, public welfare groups, and individuals. Public interest litigation can be categorized as civil and administrative. Civil public interest litigation targets environmental pollution, consumer infringement, and other actions, while administrative public interest litigation targets illegal actions or inaction by administrative agencies.

[0003] When it comes to identifying leads for public interest litigation, traditional methods like manual investigation, reporting, and complaints have numerous limitations, including low efficiency, limited coverage, and difficulty in obtaining evidence. Therefore, how to efficiently and accurately identify leads for public interest litigation has become a pressing technical challenge for those skilled in the art. Summary of the Invention

[0004] The present invention provides a method, device and equipment for identifying clues to public interest litigation based on remote sensing data, which fully utilizes high-resolution satellite remote sensing images to clearly display the characteristics of surface cover types and land use conditions. Based on the changes in remote sensing image data and the identification results of preset target objects that affect the ecological environment, public interest litigation clues are accurately determined, effectively enhancing the pertinence and effectiveness of public interest litigation and promoting the protection of public interests.

[0005] The present invention provides a method for identifying clues of public interest litigation based on remote sensing data, comprising the following steps.

[0006] Acquire remote sensing image data of target areas within multiple time periods; The remote sensing image data is input into a public interest litigation clue identification model to output a public interest litigation clue; the public interest litigation clue identification model is used to determine the public interest litigation clue based on the changes in the remote sensing image data and the identification results of preset target objects that affect the ecological environment.

[0007] According to a method for identifying clues of public interest litigation based on remote sensing data provided by the present invention, the public interest litigation clue identification model includes: A first detection model and a second detection model; wherein, The first detection model is used to identify changes in the ecological environment from the remote sensing image based on changes in the remote sensing image data; The second detection model is used to identify target objects that affect the ecological environment from remote sensing images.

[0008] According to a method for identifying clues for public interest litigation based on remote sensing data provided by the present invention, the changes in the ecological environment include at least one of the following: Changes in the areas of cultivated land, forest land, grassland and rivers; The target object includes at least one of the following: Brick kilns, sand quarries, mining sites and garbage dumps.

[0009] According to a method for identifying public interest litigation clues based on remote sensing data provided by the present invention, after inputting the remote sensing image data into a public interest litigation clue identification model and outputting the public interest litigation clues, the method further includes: Compare the public interest litigation clues with the approval data of the business department to obtain updated public interest litigation clues.

[0010] According to a method for identifying public interest litigation clues based on remote sensing data provided by the present invention, after obtaining updated public interest litigation clues, the method further includes: Based on the updated public interest litigation clues, remote sensing image traceability is carried out to generate a remote sensing image chain of the entire process of occurrence, development and change of the illegal behavior.

[0011] The present invention also provides a public interest litigation clue identification device based on remote sensing data, comprising the following modules: An acquisition module is used to acquire remote sensing image data of a target area within multiple time periods; The identification module is used to input the remote sensing image data into the public interest litigation clue identification model and output the public interest litigation clue; the public interest litigation clue identification model is used to determine the public interest litigation clue based on the changes in the remote sensing image data and the identification results of the preset target objects that affect the ecological environment.

[0012] The present invention also provides an electronic device comprising a memory, a processor and a computer program stored in the memory and runnable on the processor. When the processor executes the program, a method for identifying clues of public interest litigation based on remote sensing data as described above is implemented.

[0013] The present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, the method for identifying clues of public interest litigation based on remote sensing data as described above is implemented.

[0014] The present invention also provides a computer program product, comprising a computer program, which, when executed by a processor, implements any of the above-described methods for identifying clues of public interest litigation based on remote sensing data.

[0015] The method, device and equipment for identifying public interest litigation clues based on remote sensing data provided by the present invention make full use of high-resolution satellite remote sensing images to clearly display the characteristics of surface cover types and land use conditions. Based on the changes in remote sensing image data and the identification results of preset target objects that affect the ecological environment, public interest litigation clues can be accurately determined, effectively enhancing the pertinence and effectiveness of public interest litigation and promoting the protection of public interests. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the technical solutions in the present invention or the prior art, a brief introduction is given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0017] Figure 1 This is one of the flow charts of the method for identifying clues of public interest litigation based on remote sensing data provided by the present invention.

[0018] Figure 2 This is the second flow chart of the method for identifying clues of public interest litigation based on remote sensing data provided by the present invention.

[0019] Figure 3 This is the third flow chart of the method for identifying clues of public interest litigation based on remote sensing data provided by the present invention.

[0020] Figure 4 It is a structural diagram of the public interest litigation clue identification device based on remote sensing data provided by the present invention.

[0021] Figure 5 It is a structural schematic diagram of the electronic device provided by the present invention. DETAILED DESCRIPTION

[0022] To make the objectives, technical solutions, and advantages of the present invention more clear, the technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Obviously, the embodiments described are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts shall fall within the scope of protection of the present invention.

[0023] The following combination Figure 1-Figure 5 The present invention describes a method, apparatus and device for identifying clues for public interest litigation based on remote sensing data.

[0024] In order to facilitate a clearer understanding of the technical solutions of the various embodiments of the present application, some technical contents related to the various embodiments of the present application are first introduced.

[0025] While some domestic research has explored methods for uncovering leads in public interest litigation, these efforts primarily focus on traditional manual investigations, reports, and complaints. These methods suffer from low efficiency, limited coverage, and difficulty in obtaining evidence. In recent years, while some regions have begun experimenting with leveraging technologies like big data and artificial intelligence to assist with public interest litigation, these efforts remain in their early stages and a systematic solution has yet to be established. Overseas, however, the discovery of leads in public interest litigation began earlier and has developed a relatively mature technical framework. Developed countries like Europe and the United States, in particular, have leveraged advanced technologies such as satellite remote sensing, drone aerial photography, and big data analysis to achieve real-time monitoring and early warning of illegal activities. These technologies not only improve the efficiency and accuracy of public interest litigation but also significantly reduce human and material costs. With the continuous advancement of remote sensing technology and the increasing availability of satellite data, its application in public interest litigation will become more extensive and in-depth. High-resolution remote sensing imagery, intelligent data analysis algorithms, and real-time data processing capabilities provide strong technical support for uncovering leads in public interest litigation. Furthermore, with the rapid development of emerging technologies such as artificial intelligence and blockchain, methods for uncovering leads in public interest litigation will become even more intelligent and precise.

[0026] In the current field of public interest litigation clue discovery, although a variety of technical means have been applied to the monitoring of environmental, land, and other illegal and irregular behaviors, traditional methods still have significant flaws. Specifically, existing technologies mainly rely on traditional methods such as manual inspections and public reporting. These methods have obvious shortcomings in discovering case clues: (1) Limitations and lags in clue collection.

[0027] Geographical limitations: Traditional public interest litigation clue collection mainly relies on on-site investigations by ground personnel. This method is inadequate when faced with vast, remote or difficult-to-reach areas, resulting in a large number of potential clues being overlooked.

[0028] Limited monitoring scope: Traditional manual inspection methods are limited by human and material resources, making it difficult to achieve comprehensive and real-time monitoring of vast areas, resulting in many illegal and irregular behaviors being difficult to detect in a timely manner.

[0029] Poor timeliness: Illegal acts are often instantaneous, making it difficult for traditional methods to capture these fleeting events. This is especially true in the environmental protection sector, such as illegal pollution discharge and deforestation. Once the optimal opportunity for evidence collection is missed, the evidence may disappear. While public reporting can somewhat compensate for the shortcomings of manual inspections, it often suffers from information lags, meaning that violations are reported some time after they have occurred, hindering timely prevention and correction.

[0030] Information silos: The information sharing mechanism between different departments and institutions is not sound, resulting in the dispersion of clue resources, making it difficult to form a joint force, and affecting the overall effectiveness of public interest litigation.

[0031] (2) Difficulties and challenges in investigation and evidence collection High technical threshold: Evidence collection for environmental violations often involves complex technical issues, such as pollution source identification and damage assessment, which require professional personnel to operate. However, the current professional appraisal institutions have limited resources and cannot meet the needs of large-scale investigation and evidence collection.

[0032] Difficulty in preserving evidence: On-site evidence is easily affected by the natural environment and may change or disappear. Traditional evidence collection methods cannot ensure the integrity and authenticity of evidence. Furthermore, since illegal activities may involve multiple interests, evidence may be tampered with or destroyed.

[0033] High cost: Traditional investigation and evidence collection methods require a large amount of manpower and material resources, are costly and inefficient, and cannot meet the needs of rapid response in public interest litigation.

[0034] (3) Limitations and shortcomings of data analysis Uneven data quality: Traditional data comes from a wide range of sources but has varying quality, containing a large amount of redundant, erroneous, and even false information, which affects the accuracy and reliability of data analysis.

[0035] Limited analytical capabilities: Existing data analysis tools and methods are unable to cope with massive and complex remote sensing data, making it difficult to quickly and accurately extract valuable information and clues.

[0036] Low level of intelligence: Current data analysis relies heavily on manual intervention and lacks a high level of intelligence, making it impossible to achieve automated data processing and intelligent analysis. This limits the efficiency and accuracy of identifying leads in public interest litigation. Traditional methods often rely on manual interpretation and screening when processing large amounts of data, which is not only time-consuming and labor-intensive but also prone to misjudgments or omissions due to human factors. While some technologies have attempted to apply modern information technologies such as remote sensing and big data to the discovery of leads in public interest litigation, these often suffer from insufficient technical integration and insufficient system intelligence, making it difficult to fully leverage the advantages of new technologies.

[0037] To sum up, existing technologies have defects in discovering clues for public interest litigation, such as limited monitoring scope, information lag, low efficiency and insufficient technological integration, which makes it difficult to meet the needs of the procuratorate in the new era for efficient and accurate case handling.

[0038] Figure 1 This is one of the flow charts of the method for identifying clues of public interest litigation based on remote sensing data provided by the present invention. Figure 1 As shown, the method includes the following: Step 101: Acquire remote sensing image data of a target area within multiple time periods.

[0039] Specifically, in the field of public interest litigation clue discovery, traditional manual investigation, reporting and complaint methods have many limitations, such as low efficiency, limited coverage, and difficulty in obtaining evidence.

[0040] To address the above issues, the present embodiment first acquires remote sensing image data of the target area over multiple time periods. For example, satellite remote sensing image data of the target area can be acquired regularly, including images from different years and seasons, to ensure the timeliness and diversity of the remote sensing image data. Remote sensing image data can enable real-time monitoring of surface information worldwide, unrestricted by natural conditions such as geography and topography, and possesses broad coverage and high flexibility.

[0041] Step 102: Input the remote sensing image data into a public interest litigation clue identification model and output the public interest litigation clue; the public interest litigation clue identification model is used to determine the public interest litigation clue based on the changes in the remote sensing image data and the identification results of the preset target objects that affect the ecological environment.

[0042] Specifically, after acquiring remote sensing image data of the target area within multiple time periods, in the embodiment of the present application, the remote sensing image data is input into the public interest litigation clue identification model to obtain public interest litigation clues. Among them, the public interest litigation clue identification model is used to determine public interest litigation clues based on the changes in remote sensing image data and the identification results of preset target objects that affect the ecological environment. Optionally, the public interest litigation clue identification model can automatically compare and analyze the changes in key indicators such as surface cover type and land use status in the remote sensing image data, thereby accurately identifying potential public interest litigation clues. For example, by comparing the area of ​​arable land in remote sensing images of different periods, it is possible to accurately determine whether there is any illegal behavior of destroying arable land and accurately identify public interest litigation clues. Optionally, the public interest litigation clue identification model can also identify target objects that affect the ecological environment, such as black and odorous water bodies, sewage outlets, garbage dumps, bare soil dust points, sand mining sites, and mining sites, and use the identification results as public interest litigation clues. That is, in the embodiment of the present application, the identified target objects that affect the ecological environment can be directly used as public interest litigation clues, or the changes in remote sensing image data can be used as public interest litigation clues, thereby comprehensively and accurately realizing the identification of public interest litigation clues from multiple dimensions.

[0043] The method of the above embodiment makes full use of high-resolution satellite remote sensing images to clearly display the characteristics of surface cover types and land use conditions. Based on the changes in remote sensing image data and the identification results of preset target objects that affect the ecological environment, it comprehensively and accurately realizes the identification of public interest litigation clues from multiple dimensions, effectively enhances the pertinence and effectiveness of public interest litigation, and promotes the protection of public interests.

[0044] In one embodiment, the public interest litigation clue identification model includes: A first detection model and a second detection model; wherein, The first detection model is used to identify changes in the ecological environment from remote sensing images based on changes in remote sensing image data; The second detection model is used to identify target objects that affect the ecological environment from remote sensing images.

[0045] Specifically, the public interest litigation clue identification model in the embodiment of the present application includes: a first detection model and a second detection model; wherein the first detection model is used to identify changes in the ecological environment from remote sensing images based on changes in remote sensing image data; the second detection model is used to identify target objects that affect the ecological environment from remote sensing images. That is, the public interest litigation clue identification model in the embodiment of the present application can not only determine public interest litigation clues based on changes in the area of ​​cultivated land, woodland, grassland, and rivers, etc.; it can also use newly added brick kilns, sand mining sites, mining sites, and garbage dumps in remote sensing data as identified public interest litigation clues. That is, the public interest litigation clue identification model in the embodiment of the present application can discover and identify public interest litigation clues from two dimensions: ecological environment changes and target object identification, thereby effectively improving the comprehensiveness and accuracy of the identified public interest litigation clues.

[0046] That is, in the embodiments of the present application, by introducing remote sensing big data and artificial intelligence technology, efficient monitoring of a large area is achieved, and the efficiency of discovering case clues is greatly improved. Compared with the traditional manual patrol method, the clue discovery speed of the present invention is faster, wider, and more accurate. Moreover, the use of remote sensing technology and intelligent means to conduct preliminary screening and interpretation of case clues effectively reduces the workload of case handlers and reduces labor costs and time costs. At the same time, through the construction of an information management system, the automation and digital management of case clues are realized, further improving the efficiency of case handling. The method of the embodiment of the present application can realize real-time monitoring and timely discovery of illegal and irregular behaviors, providing strong evidence support for the procuratorial organs. Through precise supervision and rapid response, the intensity and effectiveness of judicial supervision are enhanced, which helps to better safeguard public interests and social order. By introducing advanced remote sensing technology and artificial intelligence technology, not only the efficiency and quality of case handling are improved, but also new impetus and direction are provided for the innovative development of the procuratorial organs.

[0047] The method of the above embodiment discovers and identifies public interest litigation clues from two dimensions: ecological environment changes and target object identification, effectively improving the comprehensiveness and accuracy of the identified public interest litigation clues.

[0048] In one embodiment, after inputting remote sensing image data into a public interest litigation clue identification model and outputting public interest litigation clues, the method further includes: Compare the public interest litigation clues with the approval data of the business department to obtain updated public interest litigation clues.

[0049] Specifically, in an embodiment of the present application, after the public interest litigation clues are identified based on the public interest litigation clue identification model, the public interest litigation clues are compared with the approval data of the business department, such as the three-land survey data, land change data, approval data, etc. Optionally, if the comparison is successful, it indicates that the construction is carried out based on the approval data, thereby causing changes in the ecological environment, and the change is controllable. If the comparison fails, it indicates that the construction is carried out illegally without approval and needs to be rectified in a timely manner. Optionally, after the public interest litigation clues are compared with the approval data of the business department, only the public interest litigation clues that failed to be compared can be retained and used as updated public interest litigation clues, thereby effectively improving the accuracy of the public interest litigation clues.

[0050] That is, in the embodiments of this application, the efficiency, global coverage, and large-scale monitoring capabilities of satellite remote sensing technology are utilized to provide a scientific, accurate, and efficient means of discovering clues for public interest litigation, thereby enhancing the pertinence and effectiveness of public interest litigation and protecting the public interest. The purpose is to overcome the shortcomings of the existing technology by: 1. Break through geographical restrictions: Through satellite remote sensing technology, real-time monitoring of surface information on a global scale is achieved without being restricted by geography or terrain, ensuring the comprehensiveness and timeliness of clue collection.

[0051] 2. Improve timeliness: Remote sensing data is updated in real time, which can quickly capture the occurrence and changes of illegal behaviors and provide timely and accurate clues support for public interest litigation.

[0052] 3. Reduce the difficulty of investigation and evidence collection: Using remote sensing imagery for non-contact evidence collection effectively avoids the risks and difficulties that may be encountered in on-site evidence collection. At the same time, combining intelligent algorithms to process and analyze remote sensing data improves the authenticity and reliability of evidence.

[0053] 4. Improve data analysis capabilities: Leverage advanced technologies such as big data and artificial intelligence to conduct in-depth mining and intelligent analysis of remote sensing data, quickly identify potential clues for public interest litigation, and improve the efficiency and accuracy of data processing.

[0054] To sum up, the purpose of this application is to provide an efficient, accurate and intelligent method for discovering clues in public interest litigation, so as to overcome the shortcomings of existing technologies, improve the quality and efficiency of case handling by the procuratorate, and effectively safeguard the public interest.

[0055] The method of the above embodiment, after identifying the public interest litigation clues based on the public interest litigation clue identification model, compares the public interest litigation clues with the approval data of the business department to obtain updated public interest litigation clues, which can effectively improve the accuracy of the public interest litigation clues.

[0056] In one embodiment, after obtaining updated public interest litigation clues, the method further includes: Based on the updated public interest litigation clues, remote sensing image traceability is carried out to generate a remote sensing image chain of the entire process of occurrence, development and change of illegal acts.

[0057] Specifically, in public interest litigation, the fixation and preservation of evidence is crucial. After obtaining updated public interest litigation clues, this application uses the spatiotemporal continuity of remote sensing images to trace the image source of the identified illegal behavior and construct an image chain of the entire process of the occurrence, development, and change of the illegal behavior. This image chain can clearly show the various stages and details of the illegal behavior, providing strong evidentiary support for public interest litigation and effectively overcoming the problem that traditional methods cannot comprehensively and accurately record the process and results of illegal behavior.

[0058] For example, based on the time series of remote sensing images, we can trace back the image data before and after the illegal behavior and construct an image chain that traces the entire process of the illegal behavior. Then, using big data analysis technologies, we can deeply mine and analyze the data in the image chain to extract key information and features. The analysis results are then presented and preserved in a graphic and textual format, forming legally binding evidence. Finally, the collected evidence is submitted to relevant judicial organs or government departments to provide strong support for public interest litigation.

[0059] In addition, it should be noted that the method implemented in this application has the following advantages compared to the existing technology: 1. Not restricted by region, can be targeted at any location in the world.

[0060] Global Coverage: Satellites orbiting the Earth can observe any region of the world, regardless of national boundaries, topography, climate, or other natural conditions. This global coverage makes satellite remote sensing a crucial tool for monitoring global environmental change, resource distribution, and disasters.

[0061] Flexibility: By adjusting the satellite's orbital parameters and mission planning, it is possible to flexibly conduct continuous or periodic observations of targets in specific areas or around the world to meet research needs in different fields.

[0062] 2. It can obtain a wide range of data and conduct large-area monitoring.

[0063] Large-scale coverage: Compared with ground-based observation methods, satellite remote sensing can obtain data from large areas at one time, with a wide coverage range, making it particularly suitable for regional and global environmental monitoring and resource surveys.

[0064] Efficiency: Large-area monitoring reduces the time and labor costs of ground field surveys, improves the efficiency of data collection, and makes it possible to obtain large-scale geographic information.

[0065] 3. The speed of obtaining information is fast and the cycle is short, and monitoring is repeated at high frequency.

[0066] Rapid response: Satellite remote sensing systems can respond quickly to commands, completing observation and data transmission of target areas in a short period of time, providing valuable time for rapid assessment of emergency events (such as natural disasters).

[0067] High-frequency monitoring: Some satellites are designed with high-frequency revisit capabilities, which enable them to observe the same area multiple times in a short period of time and capture information on dynamic changes in the surface, such as vegetation growth and water body changes, providing strong support for dynamic monitoring.

[0068] 4. There are many ways to obtain information, the amount of information is large, and quantitative information can be mined from spatiotemporal data.

[0069] Multi-sensor integration: Modern satellite remote sensing platforms are often equipped with multiple sensors, such as optical cameras, infrared sensors, radars, etc. These sensors can capture remote sensing data in different bands and resolutions, providing rich surface information.

[0070] Large amount of information: The combination of multi-sensor data makes remote sensing data have extremely high information content, which can reflect various physical characteristics and dynamic change processes of the earth's surface.

[0071] Spatiotemporal data mining: Through advanced remote sensing image processing technology and spatiotemporal data mining methods, valuable information such as surface cover types, land use changes, climate patterns, etc. can be extracted from massive remote sensing data, providing a quantitative basis for scientific research, policy formulation and decision support.

[0072] The method of the above embodiment utilizes the spatiotemporal continuity of remote sensing images to trace the image source of the identified illegal behavior and construct an image chain of the entire process of the occurrence, development and change of the illegal behavior, thereby providing strong evidence support for public interest litigation and effectively overcoming the problem that traditional means are difficult to comprehensively and accurately record the process and results of illegal behavior.

[0073] In one embodiment, before inputting the remote sensing image data into the public interest litigation clue identification model, the method further includes: Preprocess the remote sensing image data; preprocessing includes at least one of the following: image enhancement, radiation correction and geometric correction.

[0074] Specifically, before inputting the remote sensing image data into the public interest litigation clue identification model, this application first pre-processes the remote sensing image data, including image enhancement, radiation correction and geometric correction processing of the remote sensing data, thereby improving the quality and comparability of the remote sensing image, and thus effectively improving the accuracy and reliability of the identified public interest litigation clues.

[0075] The method of the above embodiment can effectively improve the accuracy and reliability of identified public interest litigation clues by performing image enhancement, radiation correction and geometric correction processing on remote sensing data.

[0076] For example, Figure 2 and Figure 3 As shown, the public interest litigation clue identification method in the embodiment of this application utilizes satellite remote sensing technology, combined with cutting-edge technologies such as big data mining, artificial intelligence, and blockchain, to construct a spatiotemporal big data framework system, a real-time command and case handling system, and an integrated air-ground-space management and control model; it has functions such as case source clue discovery, case intelligent management, and spatiotemporal visualization display. It runs through key case handling links such as case source clue discovery, historical situation review, on-site evidence collection, issuing prosecutorial recommendations, and continuous tracking and supervision. The public interest litigation clue identification method includes the following steps: 1. Data collection and preprocessing.

[0077] This application first uses satellite remote sensing technology to collect high-resolution image data of a designated area, covering multiple time periods, for change detection. Data preprocessing includes image correction, radiometric correction, and geometric correction to ensure data accuracy and usability.

[0078] For example, satellite remote sensing image data of the target area can be regularly acquired, including images from different years and seasons, to ensure the timeliness and diversity of the data. Preprocessing operations such as radiometric correction, geometric correction, and image enhancement can also be performed on the acquired remote sensing images to improve image quality and comparability.

[0079] 2. Intelligent detection stage.

[0080] Task customization: Users can input task name, description, monitoring range and image selection through the software platform to customize monitoring tasks for behaviors such as destruction of cultivated land, destruction of forest land, and suspected illegal buildings.

[0081] Rapid change detection: Using advanced remote sensing image processing technology, rapid change detection is performed in designated areas to identify changes in the use of cultivated land and forest land, as well as suspected new buildings.

[0082] Manual interpretation: Compare the test results with reference data and, through manual interpretation, select the spots that meet the standards for clues in public interest litigation cases.

[0083] For example, pixel-based, object-based, or deep learning-based change detection algorithms can be used to compare and analyze changes in cultivated land, woodlands, grasslands, rivers, and other areas in imagery from different time periods to identify suspected illegal areas. Change detection results can also be verified through field surveys and drone aerial photography to ensure the accuracy and reliability of the clues.

[0084] 3. Intelligent recognition stage.

[0085] Task customization: Similar to the intelligent detection stage, users can customize monitoring tasks for mining, sand mining and other activities.

[0086] Automatic identification: Utilize deep learning and other artificial intelligence technologies to automatically identify mining and sand mining activities in images to improve monitoring efficiency.

[0087] Manual review: The identification results must also be manually reviewed to ensure the accuracy and reliability of the clues.

[0088] For example, in public interest litigation, illegal activities such as illegal brick kilns, sand quarries, mining sites, and solid waste dumps often cause serious damage to the ecological environment. However, these illegal activities are often highly concealed and difficult to detect through traditional means. This application utilizes deep learning and other artificial intelligence technologies, trained on a large number of samples, to build a model that can intelligently identify specific targets such as illegal brick kilns, sand quarries, mining sites, and solid waste dumps. This model can automatically identify these illegal activities from remote sensing imagery, providing strong support for public interest litigation.

[0089] Alternatively, a large number of remote sensing images depicting illegal brick kilns, sand quarries, mining sites, and solid waste dumps can be collected as training samples. This data can then be trained using deep learning algorithms such as manual interpretation, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) to construct a recognition model. The model is then tested through methods such as cross-validation to assess its recognition accuracy and generalization capabilities, and optimized based on the test results. Finally, the trained model can be applied to remote sensing image processing to automatically identify illegal brick kilns, sand quarries, mining sites, solid waste dumps, and other illegal activities.

[0090] 4. Result comparison and clue generation.

[0091] Result comparison: Comprehensively compare the results of intelligent detection and intelligent identification (such as comparison with the third national land survey data, land change data, approval data, etc.), and use multi-source data fusion technology to improve the accuracy and comprehensiveness of clues.

[0092] Clue generation: Based on the comparison results, public interest litigation case clues are automatically generated, including key information such as case type, geographical location, and image evidence.

[0093] 5. Intelligent case handling stage.

[0094] Case organization and management: In the intelligent case handling module, all cases are organized and managed according to the status of clues, investigation and evidence collection, clue transfer, case filing, issuance of prosecutorial recommendations, and filing of lawsuits, realizing intelligent management of the entire case process.

[0095] Spatiotemporal visualization display: Utilize the spatiotemporal big data framework system to achieve spatiotemporal visualization of cases, helping case handlers to intuitively understand the distribution, changes and progress of cases.

[0096] Message push and reminders: For rectification cases that are about to expire, message reminders will be automatically pushed to case handlers to ensure that the cases can be followed up and handled in a timely manner.

[0097] That is, the current discovery of clues for public interest litigation is often limited by factors such as region and time, and traditional means are difficult to monitor changes in the ecological environment in a comprehensive and real-time manner. In particular, for the protection of large areas of natural resources such as cultivated land, woodlands, grasslands, and rivers, traditional monitoring methods are not only inefficient, but also difficult to cover all areas, resulting in many illegal acts that cannot be discovered and stopped in time. In the embodiments of the present application, by integrating advanced technologies such as remote sensing, big data, and artificial intelligence, accurate and efficient monitoring of illegal acts such as environmental destruction and resource encroachment is achieved. This method can accurately identify ecological and environmental problems such as the conversion of cultivated land to non-agricultural purposes, forest degradation, and river pollution, provide timely and accurate clues for public interest litigation, provide strong evidence support for the procuratorate, promote the in-depth development of public interest litigation, and solve the problems of geographical limitations, information lags, and low efficiency in the current process of collecting clues for public interest litigation.

[0098] The following describes the public interest litigation clue identification device based on remote sensing data provided by the present invention. The public interest litigation clue identification device based on remote sensing data described below and the public interest litigation clue identification method based on remote sensing data described above can be referred to each other. Figure 4 As shown, including: An acquisition module 410 is used to acquire remote sensing image data of a target area within multiple time periods; The identification module 420 is used to input remote sensing image data into the public interest litigation clue identification model and output public interest litigation clues; the public interest litigation clue identification model is used to determine public interest litigation clues based on the changes in remote sensing image data and the identification results of preset target objects that affect the ecological environment.

[0099] Optionally, the public interest litigation clue identification model includes: A first detection model and a second detection model; wherein, The first detection model is used to identify changes in the ecological environment from remote sensing images based on changes in remote sensing image data; The second detection model is used to identify target objects that affect the ecological environment from remote sensing images.

[0100] Optionally, the changes in the ecological environment include at least one of the following: Changes in the areas of cultivated land, forest land, grassland and rivers; Target objects include at least one of the following: Brick kilns, sand quarries, mining sites and garbage dumps.

[0101] Optionally, the identification module 420 is further configured to: Compare the public interest litigation clues with the approval data of the business department to obtain updated public interest litigation clues.

[0102] Optionally, the identification module 420 is further configured to: Based on the updated public interest litigation clues, remote sensing image traceability is carried out to generate a remote sensing image chain of the entire process of occurrence, development and change of illegal acts.

[0103] Optionally, the acquisition module 410 is further configured to: Preprocess the remote sensing image data; preprocessing includes at least one of the following: image enhancement, radiation correction and geometric correction.

[0104] Figure 5 The following illustrates a schematic diagram of the physical structure of an electronic device, which may include: a processor 510, a communications interface 520, a memory 530, and a communications bus 540. The processor 510, communications interface 520, and memory 530 communicate with each other via the communications bus 540. The processor 510 may invoke logic instructions in the memory 530 to execute a method for identifying public interest litigation clues based on remote sensing data. The method includes: acquiring remote sensing image data of a target area within multiple time periods; inputting the remote sensing image data into a public interest litigation clue identification model to output public interest litigation clues; and the public interest litigation clue identification model is used to identify public interest litigation clues based on changes in the remote sensing image data and the identification results of preset target objects that affect the ecological environment.

[0105] Furthermore, the logic instructions in the aforementioned memory 530 can be implemented as software functional units and, when sold or used as independent products, can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present invention, or the portion that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions for causing a computer device (which can be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes various media capable of storing program code, such as a USB flash drive, a mobile hard drive, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk.

[0106] On the other hand, the present invention also provides a computer program product, which includes a computer program, which can be stored on a non-transitory computer-readable storage medium. When the computer program is executed by a processor, the computer can execute the public interest litigation clue identification method based on remote sensing data provided by the above methods, and the method includes: obtaining remote sensing image data of the target area within multiple time periods; inputting the remote sensing image data into a public interest litigation clue identification model, and outputting public interest litigation clues; the public interest litigation clue identification model is used to determine public interest litigation clues based on changes in remote sensing image data and preset identification results of target objects that affect the ecological environment.

[0107] On the other hand, the present invention also provides a non-transitory computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it is implemented to execute the public interest litigation clue identification method based on remote sensing data provided by the above-mentioned methods. The method includes: obtaining remote sensing image data of the target area within multiple time periods; inputting the remote sensing image data into a public interest litigation clue identification model and outputting public interest litigation clues; the public interest litigation clue identification model is used to determine public interest litigation clues based on changes in remote sensing image data and preset identification results of target objects that affect the ecological environment.

[0108] The device embodiments described above are merely illustrative. The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, i.e., they may be located in one location or distributed across multiple network units. Some or all of the modules may be selected based on actual needs to achieve the objectives of the present embodiment. Persons of ordinary skill in the art will be able to understand and implement the present invention without inventive effort.

[0109] Through the above description of the embodiments, those skilled in the art will clearly understand that each embodiment can be implemented using software plus a necessary general-purpose hardware platform, or of course, hardware. Based on this understanding, the essence of the above technical solution, or the portion that contributes to the prior art, can be embodied in the form of a software product. This computer software product can be stored in a computer-readable storage medium, such as ROM / RAM, a magnetic disk, or an optical disk, and includes a number of instructions for causing a computer device (such as a personal computer, server, or network device) to execute the methods described in each embodiment or certain portions of the embodiments.

[0110] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims

1. A method for identifying clues for public interest litigation based on remote sensing data, characterized in that: include: Acquire remote sensing image data of target areas within multiple time periods; Inputting the remote sensing image data into a public interest litigation clue identification model to output public interest litigation clues; The public interest litigation clue identification model is used to determine public interest litigation clues based on changes in remote sensing image data and identification results of preset target objects that affect the ecological environment.

2. The method for identifying clues of public interest litigation based on remote sensing data according to claim 1 is characterized in that: The public interest litigation clue identification model includes: A first detection model and a second detection model; wherein, The first detection model is used to identify changes in the ecological environment from the remote sensing image based on changes in the remote sensing image data; The second detection model is used to identify target objects that affect the ecological environment from remote sensing images.

3. The method for identifying clues of public interest litigation based on remote sensing data according to claim 2 is characterized in that: The changes in the ecological environment include at least one of the following: Changes in the areas of cultivated land, forest land, grassland and rivers; The target object includes at least one of the following: Brick kilns, sand quarries, mining sites and garbage dumps.

4. The method for identifying clues for public interest litigation based on remote sensing data according to any one of claims 1 to 3, characterized in that: After inputting the remote sensing image data into the public interest litigation clue identification model and outputting the public interest litigation clue, the method further includes: Compare the public interest litigation clues with the approval data of the business department to obtain updated public interest litigation clues.

5. The method for identifying clues of public interest litigation based on remote sensing data according to claim 4 is characterized in that: After obtaining updated public interest litigation clues, the following is also included: Based on the updated public interest litigation clues, remote sensing image traceability is carried out to generate a remote sensing image chain of the entire process of occurrence, development and change of the illegal behavior.

6. The method for identifying clues for public interest litigation based on remote sensing data according to any one of claims 1 to 3, characterized in that: Before inputting the remote sensing image data into the public interest litigation clue identification model, the method further includes: The remote sensing image data is preprocessed; the preprocessing includes at least one of the following: image enhancement, radiation correction and geometric correction.

7. A device for identifying clues for public interest litigation based on remote sensing data, characterized in that: include: An acquisition module is used to acquire remote sensing image data of a target area within multiple time periods; The identification module is used to input the remote sensing image data into the public interest litigation clue identification model and output the public interest litigation clue; the public interest litigation clue identification model is used to determine the public interest litigation clue based on the changes in the remote sensing image data and the identification results of the preset target objects that affect the ecological environment.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the program, the method for identifying clues of public interest litigation based on remote sensing data as described in any one of claims 1 to 6 is implemented.

9. A non-transitory computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the method for identifying clues of public interest litigation based on remote sensing data as described in any one of claims 1 to 6 is implemented.

10. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the method for identifying clues of public interest litigation based on remote sensing data as described in any one of claims 1 to 6 is implemented.

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